similar to: [LLVMdev] CUDA front-end (CUDA to LLVM IR)

On Wed, Apr 8, 2015 at 10:12 AM, Dmitry Mikushin <dmitry at kernelgen.org> wrote: > A tool of this kind here: https://github.com/apc-llc/nvcc-llvm-ir > > 2015-04-08 19:01 GMT+02:00 Ahmed ElTantawy <ahmede at ece.ubc.ca>: > >> Hi, >> >> I wanted to ask whether there is ongoing effort (or an already >> established tool) that enables to convert CUDA

Hi Arpith, That is exactly what it is :). My bad, I thought I copied over the libraries to where LIBRARY_PATH pointing but apparently it was copied to a wrong destination. Thanks a lot. On Wed, Jan 20, 2016 at 4:51 AM, Arpith C Jacob <acjacob at us.ibm.com> wrote: > Hi Ahmed, > > nvlink is unable to find the GPU OMP runtime library in its path. Does > LIBRARY_PATH point to

Hi, My goal is to use Clang/LLVM/libclc to compile an OpenCL kernel and eventually generate a PTX code. I already did this but I am not sure if the PTX code I am generating is correct (is the one that is supposed to be generated). For example, currently, In OpenCL : get_global_id(0) translates to In LLVM : %call = tail call i32 @get_global_id(i32 0) which translates to In PTX:

Hi Justin, Is a compiler allowed to inline a function that calls __syncthreads? I saw nvcc does that, but not sure it's valid though. For example, void foo() { __syncthreads(); } if (threadIdx.x % 2 == 0) { ... foo(); } else { ... foo(); } Before inlining, all threads meet at one __syncthreads(). After inlining if (threadIdx.x % 2 == 0) { ... __syncthreads(); } else { ...

I'm using 7.0. I am attaching the reduced example. nvcc sync.cu -arch=sm_35 -ptx gives // .globl _Z3foov .visible .entry _Z3foov( ) { .reg .pred %p<2>; .reg .s32 %r<3>; mov.u32 %r1, %tid.x; and.b32 %r2, %r1, 1; setp.eq.b32 %p1, %r2, 1; @!%p1 bra BB7_2; bra.uni

Hello Bergström/Eric, Thanks for the reply. The G80(sm_10) architecture was ported on FPGA by a group of researchers (http://www.ecs.umass.edu/ece/tessier/andryc-fpt13.pdf). Our group have some further research interest on this work. I was working on modifying the Clang-LLVM for a couple of months and achieved the required changes. But Clang-LLVM is only allowing me to generate PTX for sm_20,

Hi all, I compiled the *llvm3.9* source code on the *Nvidia TX1* board. And now I am following the document in the docs/CompileCudaWithLLVM.rst to compile cuda program with clang++. However, when I compile `axpy.cu` using `nvcc`, *nvcc* can generate the correct the binary; while compiling `axpy.cu` using clang++, the detailed command is `clang++ axpy.cu -o axpy --cuda-gpu-arch=sm_53

Hello, I'm trying to combine the parallel computing power available through NVIDIA CUDA (www.nvidia.com/cuda) from within R. CUDA is an extension to the C language, so I thought it would be possible to do this. If I have a C file with an empty function which includes a needed CUDA library (cutil.h) and compile this to an .so file using a NVIDIA compiler (nvcc), called 'myFunc.so' I

Hi, I wonder whether the current version of LLVM supports separate compilation and linking of device code, i.e., is there a flag analogous to nvcc's --relocatable-device-code flag? If not, is there any plan to support this? Thanks! Yuanfeng Peng -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, I am sorry for sending this query again here, but maybe I sent it to wrong list yesterday. I am trying to compile LonestarGPU-rev2.0 <http://iss.ices.utexas.edu/?p=projects/galois/lonestargpu/download> benchmark suite with LLVM/CLANG. This suite has a following piece of code (more info here

Hi, again. So, kmod-nvidia installed. Trouble is, I have no tool to test it. And my user might need nvcc, which, of course, is only provided by the NVidia CUDA, which won't install, because it conflicts with kmod-nvidia. Has *anyone* dealt with this? If so, what was your solution? mark

Hello , How to execute a cuda program using llvm? More specifically, nvcc produces some temporary files during its compilation. I want to convert the .cu.cpp to .ll format and optimize it. The .cu.cpp file contains typedefs and enums used by cuda runtime and also the host part of the code and the ptx file contains the kernel definition. How can i run the program after optimization? Will Rhodin

Hi everybody, I am trying to produce ptx code starting from OpenCL C. I am experiencing a problem concerning pointer parameters. Here follows an example: kernel void function(__global float* parameter1) {} NVIDIA NVCC Compiler: .entry function( .param .u32 *.ptr* .global .align 4 function_param_0 ) { ret; } CLANG + LLVM PTX backend // (skipping builtin functions definitions) .entry

Hi, Is it possible to translate an OpenMP program to CUDA using LLVM? I read that dragonegg has a OpenMP front-end and LLVM has a PTX back-end. I don't know how mature these tools are. Please let me know. Thanks. -Apala Postdoctoral Scholar Department of Computer Science, University of Chicago Computation Institute, Argonne National Laboratory http://sites.google.com/site/apalaguha/home/

Dear R development: I'm not sure if this is the appropriate list, but it's a start. I would like to put together a package which contains a CUDA program on Windows 7. I believe that it has to do with the Makeconf file in the etc directory. But when I just use the nvcc with the shared option, I can use the dyn.load command, but when I use the is.loaded function, it shows FALSE.

The PTX back-end is robust (it's based on the sources used by nvcc), but I'm not sure about the OpenMP representation in LLVM IR. I believe the OpenMP constructs are already lowered into libgomp calls before leaving DragonEgg. It's been awhile since I've loooked at it though. If you use the PTX back-end and have any issues, please don't hesitate to post to the list and cc:

Hi Adarsh, to my knowledge there is no publicly available CUDA-Frontend for LLVM yet. The work of Helge Rhodin you mentioned is on the backend-side: It allows to generate PTX code from LLVM IR. It is still being maintained, although I think the currently available source code is a little outdated. There is also a PTX backend in the current version of LLVM that makes use of LLVM's

vychytraly . wrote: > On Thu, Oct 5, 2017 at 9:51 PM, <m.roth at 5-cent.us> wrote: >> >> So, kmod-nvidia installed. Trouble is, I have no tool to test it. And my >> user might need nvcc, which, of course, is only provided by the NVidia >> CUDA, which won't install, because it conflicts with kmod-nvidia. >> >> Has *anyone* dealt with this? If so,

Hello, When generating the PTX output from CUDA file(.cu file), the minimum target that is accepted by LLVM is sm_20. But I have a specific requirement to generate PTX output for compute capability 1.0 (sm_10). Is there any previous version of LLVM supporting this? Thank you, Ginu -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi Alex, Eric and Valentin, Thanks for the information. I don't mean to push this but I'm in desperate need of debugging some cuda code. I'm not familiar with the llvm internal but it sounds like there's at least line info now, right? If so, can you point me to a branch of llvm that can help tracing the bug down to certain line of code. I believe my bug is simply a write/read